--- license: mit base_model: roberta-base tags: - generated_from_keras_callback model-index: - name: vedantjumle/roberta-clinc150-1 results: [] --- # vedantjumle/roberta-clinc150-1 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.1292 - Validation Loss: 0.1361 - Train Accuracy: 0.9778 - Epoch: 6 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4424, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Train Accuracy | Epoch | |:----------:|:---------------:|:--------------:|:-----:| | 3.5609 | 1.7191 | 0.8982 | 0 | | 1.3722 | 0.5564 | 0.9644 | 1 | | 0.5791 | 0.2622 | 0.9756 | 2 | | 0.3105 | 0.1978 | 0.9724 | 3 | | 0.2037 | 0.1631 | 0.9747 | 4 | | 0.1534 | 0.1394 | 0.9773 | 5 | | 0.1292 | 0.1361 | 0.9778 | 6 | ### Framework versions - Transformers 4.34.0 - TensorFlow 2.13.0 - Datasets 2.14.5 - Tokenizers 0.14.1